A WEIGHTED LINEAR REGRESSION MODEL FOR IMPERCISE RESPONSE
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Abstract:
A weighted linear regression model with impercise response and p-real explanatory variables is analyzed. The LR fuzzy random variable is introduced and a metric is suggested for coping with this kind of variables. A least square solution for estimating the parameters of the model is derived. The result are illustrated by the means of some case studies.
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Journal title
volume 3 issue 1
pages 1- 17
publication date 2014-01-01
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